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Consumer Engagement and Empowerment Through Visualization of Consumer-Generated Health Data

  • Adriana ArciaEmail author
  • Jacqueline A. Merrill
  • Suzanne Bakken
Chapter

Abstract

Health-related information visualizations, such as infographics, may be used to engage and empower the viewer. These can be tailored to an individual with the inclusion of their personal health data. However, information visualizations must be designed with care to insure that they convey the intended message in a culturally relevant and easily comprehensible way. To that end, we propose a method that relies upon the participation of members of the intended viewing audience. In this chapter, we describe the five steps that comprise our method for developing tailored infographics of personal health data: (1) defining the intended audience and purpose, (2) understanding the data, (3) iterative design, (4) automation, and (5) evaluation. We developed and refined this method over the course of two projects that serve as the context for case studies that illustrate these steps. We conclude this chapter with a look at emerging trends and future opportunities such as the use of consumer health informatics to support self-management and integration with health care.

Keywords

Automated tailoring Data attributes Digital literacy Electronic Tailored Infographics for Community Engagement, Education, and Empowerment (EnTICE3Health communication Health literacy Heuristic evaluation Infographics Information visualization New York City Hispanic Dementia Caregivers Research Program (NHiRP) Participatory design Patient-reported outcomes (PROs) Style guide Washington Heights/Inwood Informatics Infrastructure for Community-Centered Comparative Effectiveness Research (WICER) 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Adriana Arcia
    • 1
    Email author
  • Jacqueline A. Merrill
    • 2
  • Suzanne Bakken
    • 2
  1. 1.School of NursingColumbia UniversityNew YorkUSA
  2. 2.School of Nursing and Department of Biomedical InformaticsColumbia UniversityNew YorkUSA

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